CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

weixin-desktop-send

Send a single text message in the macOS WeChat desktop app by controlling the native UI. Use when the user asks to send a WeChat message to a named contact or group, or asks the agent to operate the desktop WeChat client directly.

Quality

83%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

73%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a well-engineered operational guide with an exemplary validation-and-failure-handling workflow, concrete commands, and proper separation of implementation into scripts/. Its weaknesses are internal redundancy — three sections restate the same execution-order policy and the Fast Path duplicates the Workflow — and a dangling README.md reference that breaks navigation to the helper's documentation.

Suggestions

Merge 'Preferred Execution Order', 'Fast Path For This Machine', and 'Input Strategy' into a single execution-strategy section (or fold the fast path into the Workflow as annotated steps) so the layering policy and machine-specific observations are stated once.

Fix the dangling [README](./README.md) link: either add the README to the bundle or remove the link and inline the one or two details it was meant to carry.

Mention scripts/window_info.swift alongside the other bundle files (or note that the helper manages it internally) so every file in scripts/ is accounted for in SKILL.md.

DimensionReasoningScore

Conciseness

Nothing explains concepts Claude already knows, but the body repeats its core policy three times — "Preferred Execution Order", "Fast Path For This Machine", and "Input Strategy" all restate the same layering rule (accessibility first, clipboard for Chinese, coordinate click only for composer focus) — and the Fast Path duplicates roughly seven of the fourteen Workflow steps, with the probe command given twice. This is more than the 'minor instances' of anchor 4: the sections could be consolidated into one workflow, which is exactly anchor 3's 'could be tightened'.

3 / 5

Actionability

Concrete specifics abound — bundle id `com.tencent.xinWeChat`, `Cmd+F`, copy-paste bash blocks with real flags (`probe`, `--dry-run`, `--allow-ambiguous-send`), exact Settings paths, and a named error (`AXError.notImplemented`) — and the referenced helper scripts exist. It stops short of anchor 5 because the primary GUI-automation path (Workflow steps 4–13) is prose direction rather than executable commands, and the linked README that presumably holds the details is missing from the bundle.

4 / 5

Workflow Clarity

The 14-step workflow is clearly sequenced with explicit validation checkpoints (verify chat header at step 9, verify sent message at step 13, "Report success only after verification" at step 14), feedback loops for error recovery (re-authorize then retry from a fresh snapshot; ambiguous sends escalate to the user), a pre-send checklist, and a dedicated Failure Handling list. This matches anchor 5's 'explicit validation steps; feedback loops; checklists'; the destructive/batch cap does not apply since the skill is explicitly single-recipient, single-message.

5 / 5

Progressive Disclosure

Structure is good: the implementation (a ~26KB Python helper plus two Swift helpers) is correctly split into scripts/ while SKILL.md stays an operational overview, and bundle references are clearly signaled and one level deep. It is not anchor 5 because one of the three referenced files — [README](./README.md) — does not exist in the bundle, leaving a dangling link, and scripts/window_info.swift is present but never mentioned in SKILL.md.

4 / 5

Total

16

/

20

Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: it states exactly what the skill does, scopes it to macOS desktop GUI automation, and gives an explicit 'Use when' clause with natural trigger phrases. The only gap is missing natural-language variants, particularly the Chinese phrasing (微信/发微信) that many WeChat users would actually use.

DimensionReasoningScore

Specificity

The description names one action with full qualification — "Send a single text message in the macOS WeChat desktop app by controlling the native UI" to "a named contact or group" — which is complete coverage for a single-purpose skill. It sits above anchor 3 (which expects coverage gaps) but below anchor 5, which expects several listed actions; only one action is stated, but every modifier (single, text, macOS, native UI) is explicit.

4 / 5

Completeness

Both parts are explicit: the "what" ("Send a single text message in the macOS WeChat desktop app by controlling the native UI") and the "when" ("Use when the user asks to send a WeChat message to a named contact or group, or asks the agent to operate the desktop WeChat client directly"). This matches anchor 5 exactly — clear what AND when with concrete trigger phrases — and exceeds anchor 4, whose 'when' is less specific.

5 / 5

Trigger Term Quality

Phrases like "send a WeChat message", "named contact or group", and "operate the desktop WeChat client directly" match what users would naturally say, giving good keyword coverage. It falls short of anchor 5's comprehensive synonym coverage because common variants — notably the Chinese "微信"/"发微信" phrasing that dominates this app's user base — are absent.

4 / 5

Distinctiveness Conflict Risk

The description occupies a clear niche ("macOS WeChat desktop app", "native UI", "desktop WeChat client") with triggers unlikely to fire for unrelated skills. It matches anchor 5's 'clear niche with distinct triggers; minimal conflict risk' and is more scoped than anchor 4's example, which still spans multiple document formats.

5 / 5

Total

18

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 1 missing

Warning

Total

15

/

16

Passed

Repository

202780181/lingxiData

Path

.agents/skills/weixin-desktop-send/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.